Abstract
Subject movement and a dark environment will increase the difficulty of image-based contactless pulse rate detection. In this paper, we detected the subject’s motion status based on complexion tracking and proposed a motion index (MI) to filter motion artifacts in order to increase pulse rate measurement accuracy. Additionally, we integrated the near infrared (NIR) LEDs with the adopted sensor and proposed an effective method to measure the pulse rate in a dark environment. To achieve real-time data processing, the proposed framework is constructed on a Field Programmable Gate Array (FPGA) platform. Next, the instant pulse rate and motion status are transmitted to a smartphone for remote monitoring. The experiment results showed the error of the pulse rate detection to be within −3.44 to +4.53 bpm under sufficient ambient light and −2.96 to + 4.24 bpm for night mode detection, when the moving speed is higher than 14.45 cm/s. These results demonstrate that the proposed method can improve the robustness of image-based contactless pulse rate detection despite subject movement and a dark environment.
Highlights
With the rapid growth of integrated circuit design and manufacture, commercial wearable devices such as smart bands and smart jackets are being widely used to assess human heart rates and motion status using embedded electrodes and integrated inertial motion unit (IMU) sensors [1,2]
Motion Index invisible range is not provided in the datasheet, this study proves that the red color channel has better quantum efficiency in near infrared (NIR) illumination, according to our experiment
The proposed system in this paper mainly focuses on providing a motion index indicator to improve the accuracy of contactless pulse rate detection in a dynamic situation and in dark measurement
Summary
With the rapid growth of integrated circuit design and manufacture, commercial wearable devices such as smart bands and smart jackets are being widely used to assess human heart rates and motion status using embedded electrodes and integrated inertial motion unit (IMU) sensors [1,2] These devices contain the potential risk of current leakage or causing discomfort when used for a long period of time [3]. The contactless approach can be achieved by measuring photo-plethysmography (PPG) signals remotely This process is based on an electro-optic technique for noninvasively measuring the tissue blood volume pulses (BVPs) in the vascular tissue bed underneath the skin [6]. In combination with Bluetooth communication technology, all the detected health information, comprising the instant pulse rate and motion status, can be transmitted to a smartphone for data display and collection in real-time
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